Table 5.

A comparison between different prediction models of preeclampsia.

Organization	NICE (National Institute for Health and Care Excellence)	ACOG (American College of Obstetricians and Gynecologists)	ISSHP (Iinternational Society for the Study of Hypertension)	FMF (Fetal Medicine Foundation)
Screening method	Based on numbers of risk factors High-risk factors: Previous pregnancy with preeclampsia Chronic hypertension Autoimmune disease Diabetes mellitus Moderate-risk factors: Nulliparity Age ≥ 40 y/o Interpregnancy interval ≥ 10 years Initial BMI ≥ 35 kg/m2 Family history of preeclampsia Multifetal pregnancy	Based on numbers of risk factors High-risk factors: Previous pregnancy with preeclampsia Chronic hypertension Autoimmune disease Diabetes mellitus Multifetal pregnancy Renal disease Moderate-risk factors: Nulliparity Age ≥ 35 y/o Interpregnancy interval ≥ 10 years Initial BMI ≥ 30 kg/m2 Family history of preeclampsia History of SGA or adverse outcomes Socioeconomic features	Based on numbers of risk factors High-risk factors: Previous pregnancy with preeclampsia Chronic hypertension Autoimmune disease Diabetes mellitus Renal disease Initial BMI ≥ 30 kg/m2 Moderate-risk factors: Nulliparity Age ≥ 35 y/o Family history of preeclampsia < 6m sexual relationship before pregnancy Connective tissue disorder	Bayes theorem: to combine the a priori risk from maternal characteristics and results of various biomarkers -MAP (mean arterial pressure) -UtA-PI (uterine artery pulsatility index) -PAPP-A (serum pregnancy-associated plasma protein A)
Detection rate	Preterm: 41% Term: 34%	Preterm: 5% Term: 2%	Not documented	8.2%, 64.0%, 71.8%, and 75.8% at 5%, 10%, 15%, and 20% fixed FPRs
False positive rate	Preterm: 10% Term: 10%	Preterm: 0.2% Term: 0.2%	Not documented